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Record W3016823798

Imposter Phenomenon: Impact on First Generation College Students

2020· article· en· W3016823798 on OpenAlexaboutno aff
Jamie Zabat, Jacqueline Salas, Krysta Gastelum, Javier V. Gómez, Yashi Severson, Kevin Chavez

Bibliographic record

VenueDominican Scholar (Dominican University of California) · 2020
Typearticle
Languageen
FieldPsychology
TopicPerfectionism, Procrastination, Anxiety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhenomenonMathematics educationPsychologyComputer scienceEpistemologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Background:Current literature has evaluated the dynamic of IP amongst college graduates transitioning into entry-level jobs, professionals in their careers, and minority groups entering higher education. However, there is a gap in the current literature that overlooks the interaction between occupational experiences, IP, and FGCS. The purpose of this study is to use grounded theory to observe the experiences of IP among FGCS enrolled in four year universities.The research question developed to guide this study asks: What are the occupational experiences of FGCS who identify with the IP? Based on the gap between IP and FGCS, it is hypothesized that FGCS do encounter IP. Moreover, the way they encounter their occupations may be dissimilar to CGCS or to those who do not identify with IP. Methods: This qualitative study uses snowball and purposive sampling for an initial screening survey to collect demographics and perceptions of the Imposter Phenomenon through a sample narrative with prompted questions. Subsequent to this survey is a semi-structured interview reflecting principles from the Canadian Model of Occupational Performance and Engagement (CMOP-E). Thematic analysis will be used to code and theme commonalities within the collected data to generate a grounded theory based on the Imposter Phenomenon. Results & Conclusion: Data on this study is still being collected and themed; therefore, results and conclusion cannot be disseminated until all interviews are conducted and analyzed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.310
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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